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Field
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include agent memory, continual learning, the integration of other AI methods such as reinforcement learning and classical symbolic AI approaches, as well as how to interact with and evaluate modern
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
models such as the INFOGEST model and/or the TIM-1 dynamic model, to determine the effect of the food matrix on nutrient bioaccessibility and protein-polyphenol interactions; perform in vitro research
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the experimental lab (https://www.mathbioleiden.nl/software.html#virtualleaf ). Incorporate detailed insights into the model of the mechanical properties of cell walls based on experiments and small-scale
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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urban hydrometeorology, climate modelling, heat-health interactions, and water-sensitive urban design? Do you want to work on a high-impact, international project that translates urban hydrometeorological
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
Engineering, collaborating closely with experts at NLR and the Ministry of Infrastructure and Water Management to analyse the complex interactions between sustainability, economics, and societal impact in
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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MedTech regions: East Netherlands (The Netherlands) and Emilia-Romagna (Italy). You will work within an international consortium consisting of: University of Twente Assistive Innovations B.V. (https
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, fisheries and marine transport interactions, chemical emissions, and microplastic releases affecting benthic and pelagic ecosystems. Translating environmental monitoring data, field measurements, and
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical